Ultrasound imaging system and ultrasound imaging method

Abstract

An ultrasound imaging system includes an ultrasound probe, a filter, a first neural network and a processor. The ultrasound probe generates a target ultrasound image and a plurality of first reference ultrasound images by a plurality of first scanning parameters. The filter filters the target ultrasound image to generate a first filtered ultrasound image. The first neural network filters the target ultrasound image according to the first reference ultrasound images to generate a second filtered ultrasound image. The processor combines the first filtered ultrasound image and the second filtered ultrasound image to form a compound ultrasound image.

What is claimed is: 
     
         1 . An ultrasound imaging system comprising:
 an ultrasound probe generating a target ultrasound image and a plurality of first reference ultrasound images by a plurality of first scanning parameters;   a filter filtering the target ultrasound image to generate a first filtered ultrasound image;   a first neural network filtering the target ultrasound image according to the first reference ultrasound images to generate a second filtered ultrasound image; and   a processor combining the first filtered ultrasound image and the second filtered ultrasound image to form a compound ultrasound image.   
     
     
         2 . The ultrasound imaging system of  claim 1 , wherein the first scanning parameter is a scanning frequency or a scanning angle. 
     
     
         3 . The ultrasound imaging system of  claim 1 , wherein the filter is a neural network type filter, the first neural network outputs a first characteristic parameter to the filter after filtering the target ultrasound image, and the filter filters the target ultrasound image according to the first characteristic parameter to generate the first filtered ultrasound image. 
     
     
         4 . The ultrasound imaging system of  claim 1 , wherein the ultrasound probe generates the target ultrasound image and a plurality of second reference ultrasound images by a plurality of second scanning parameters, the ultrasound imaging system further comprises a second neural network, the second neural network filters the target ultrasound image according to the second reference ultrasound images to generate a third filtered ultrasound image, the processor combines the first filtered ultrasound image, the second filtered ultrasound image and the third filtered ultrasound image to form the compound ultrasound image. 
     
     
         5 . The ultrasound imaging system of  claim 4 , wherein the first scanning parameter is one of a scanning frequency and a scanning angle, and the second scanning parameter is another one of the scanning frequency and the scanning angle. 
     
     
         6 . The ultrasound imaging system of  claim 4 , wherein the filter is a neural network type filter, the first neural network outputs a first characteristic parameter to the filter after filtering the target ultrasound image, the second neural network outputs a second characteristic parameter to the filter after filtering the target ultrasound image, and the filter filters the target ultrasound image according to the first characteristic parameter and the second characteristic parameter to generate the first filtered ultrasound image. 
     
     
         7 . An ultrasound imaging method comprising steps of:
 generating a target ultrasound image and a plurality of first reference ultrasound images by a plurality of first scanning parameters;   filtering the target ultrasound image by a filter to generate a first filtered ultrasound image;   filtering the target ultrasound image by a first neural network according to the first reference ultrasound images to generate a second filtered ultrasound image; and   combining the first filtered ultrasound image and the second filtered ultrasound image to form a compound ultrasound image.   
     
     
         8 . The ultrasound imaging method of  claim 7 , wherein the first scanning parameter is a scanning frequency or a scanning angle. 
     
     
         9 . The ultrasound imaging method of  claim 7 , wherein the filter is a neural network type filter, the first neural network outputs a first characteristic parameter to the filter after filtering the target ultrasound image, and the filter filters the target ultrasound image according to the first characteristic parameter to generate the first filtered ultrasound image. 
     
     
         10 . The ultrasound imaging method of  claim 7 , further comprising steps of:
 generating the target ultrasound image and a plurality of second reference ultrasound images by a plurality of second scanning parameters;   filtering the target ultrasound image by a second neural network according to the second reference ultrasound images to generate a third filtered ultrasound image; and   combining the first filtered ultrasound image, the second filtered ultrasound image and the third filtered ultrasound image to form the compound ultrasound image.   
     
     
         11 . The ultrasound imaging method of  claim 10 , wherein the first scanning parameter is one of a scanning frequency and a scanning angle, and the second scanning parameter is another one of the scanning frequency and the scanning angle. 
     
     
         12 . The ultrasound imaging method of  claim 10 , wherein the filter is a neural network type filter, the first neural network outputs a first characteristic parameter to the filter after filtering the target ultrasound image, the second neural network outputs a second characteristic parameter to the filter after filtering the target ultrasound image, and the filter filters the target ultrasound image according to the first characteristic parameter and the second characteristic parameter to generate the first filtered ultrasound image.